Instructions to use Arthur-Tsai/histv4_ftis_noPretrain with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/histv4_ftis_noPretrain with Transformers:
# Load model directly from transformers import HiSenTrans model = HiSenTrans.from_pretrained("Arthur-Tsai/histv4_ftis_noPretrain", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 134
Browse files
config.json
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{
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"architectures": [
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"HiSenTrans"
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],
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"dropout": 0.2,
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"max_doc_len": 4500,
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"max_sent_len": 256,
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"model_type": "hierarchical-sentence-transformer-v2",
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"n_head": 8,
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"num_aux_smlm_labels": 0,
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"num_aux_spo_labels": 0,
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"num_aux_tssp_labels": 0,
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"num_layers": 2,
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"num_main_labels": 36,
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"torch_dtype": "float32",
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"transformers_version": "4.46.0"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:57bc8a5ce1128ea2cbe9eebfe2ab2cbb5f01616b69fc75399fdc0900f1de39e1
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size 124847568
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runs/0-sample_rate=0.2/events.out.tfevents.1738672347.yara2.3443054.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:74e19e4c9b051c8ec1b5aed23df41203ac915573cbf5add3f2a76468986faac6
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size 5488
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:1b6022f4e344021ca84e2d6c61cd9039175ab6cf9b95179a918464b1515cc88d
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size 5240
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